We just released Kùzu v0.0.3. One of the main features that comes with the new release is support for Pytorch Geometric's Remote Backend support to train GNNs out of memory. If you want to train a large GNN models on a machine that has limited CPU memory, you can store your graph and node features in Kùzu and scale out of memory. The blog post contains a link to a Codelab Notebook to show how to do this.
Other improvements include: data ingestion from multiple files, improvements to query optimization, a new state-o-art buffer manager, new data types including FIXED-LIST for storing node features, query timeouts and interrupts.
Enjoy!